Which action can be taken to ensure that they can identify when the model negatively affects certain locations based on the input data?

An energy company is creating an ML model to predict when there will be extra demand on the energy grid so preventative action can be taken to reduce usage leading up to the predicted event. The model is being monitored using OpenScale in Watson Studio.

Which action can be taken to ensure that they can identify when the model negatively affects certain locations based on the input data?
A . Obtain an understanding of the model predictions
B. Ensure quality in the feedback data
C. Reduce drift in the model
D. Mitigate bias, including implicit bias, that humans may have

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Answer: C